Articles | Volume 13, issue 2
https://doi.org/10.5194/esd-13-851-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-13-851-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
MESMER-M: an Earth system model emulator for spatially resolved monthly temperature
Shruti Nath
CORRESPONDING AUTHOR
Climate Analytics, Berlin, Germany
Institute of Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Quentin Lejeune
Climate Analytics, Berlin, Germany
Lea Beusch
Institute of Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
now at: Center for Climate Systems Modeling (C2SM), ETH Zurich, Zurich, Switzerland
now at: MeteoSwiss, via ai Monti 146, 6605 Locarno Monti, Switzerland
Sonia I. Seneviratne
Institute of Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Carl-Friedrich Schleussner
Climate Analytics, Berlin, Germany
Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys) and Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
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Cited
12 citations as recorded by crossref.
- A new precipitation emulator (PREMU v1.0) for lower-complexity models G. Liu et al. 10.5194/gmd-16-1277-2023
- STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. 10.5194/esd-13-1557-2022
- TIMBER v0.1: a conceptual framework for emulating temperature responses to tree cover change S. Nath et al. 10.5194/gmd-16-4283-2023
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al. 10.5194/esd-15-1301-2024
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
- Representing natural climate variability in an event attribution context: Indo-Pakistani heatwave of 2022 S. Nath et al. 10.1016/j.wace.2024.100671
- STITCHES: a Python package to amalgamate existing Earth system model output into new scenario realizations A. Snyder et al. 10.21105/joss.05525
- A machine learning approach to rapidly project climate responses under a multitude of net-zero emission pathways V. Kitsios et al. 10.1038/s43247-023-01011-0
- Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. 10.5194/esd-14-1333-2023
- From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. 10.5194/gmd-15-2085-2022
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
10 citations as recorded by crossref.
- A new precipitation emulator (PREMU v1.0) for lower-complexity models G. Liu et al. 10.5194/gmd-16-1277-2023
- STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. 10.5194/esd-13-1557-2022
- TIMBER v0.1: a conceptual framework for emulating temperature responses to tree cover change S. Nath et al. 10.5194/gmd-16-4283-2023
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al. 10.5194/esd-15-1301-2024
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
- Representing natural climate variability in an event attribution context: Indo-Pakistani heatwave of 2022 S. Nath et al. 10.1016/j.wace.2024.100671
- STITCHES: a Python package to amalgamate existing Earth system model output into new scenario realizations A. Snyder et al. 10.21105/joss.05525
- A machine learning approach to rapidly project climate responses under a multitude of net-zero emission pathways V. Kitsios et al. 10.1038/s43247-023-01011-0
- Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. 10.5194/esd-14-1333-2023
2 citations as recorded by crossref.
- From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. 10.5194/gmd-15-2085-2022
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
Latest update: 12 Nov 2024
Short summary
Uncertainty within climate model projections on inter-annual timescales is largely affected by natural climate variability. Emulators are valuable tools for approximating climate model runs, allowing for easy exploration of such uncertainty spaces. This study takes a first step at building a spatially resolved, monthly temperature emulator that takes local yearly temperatures as the sole input, thus providing monthly temperature distributions which are of critical value to impact assessments.
Uncertainty within climate model projections on inter-annual timescales is largely affected by...
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